1. Dataset loading
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2. Effect size measure

3. Presentation format

4. Hierarchy in computations

Input data placed at the top of this table will be prioritized when estimating effect sizes (only needed when some studies have overlapping input data)

ANOVA statistics, Student's t-test, or point-bis correlation

ANCOVA statistics, adjusted Cohen's d/eta-squared

Contingency (2x2) table or proportions

From plot: means and dispersion (crude)

From plot: adjusted means and dispersion (adjusted)

ES: Hedges' g or Cohen's d (crude)

ES: Odds Ratio (and dispersion)

ES: Pearson's r or Fisher's z

ES: Risk Ratio and dispersion

Mean difference and dispersion (crude)

Mean difference and dispersion (adjusted)

Means and dispersion (crude)

Means and dispersion (adjusted)

Median, range and/or interquartile range

Number of cases and time of observation

Paired: pre-post means or mean change, and dispersion

Paired: Paired F- or t-test

Phi or chi-square

(Un-)Standardized regression coefficient

User's input (crude)

User's input (adjusted)

5. Run calculations

Results of the calculations

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Forest plot

Box plot

Lolipop plot

1. Description of the section.

This Tab 2. aggregates dependent effect size of a dataset using the procedure described by Borenstein et al. (2009). If the dependent effect sizes are generated by the same participants, select the option 'Borenstein - outcomes'.
If the dependent effect sizes are generated by different participants, select the option 'Borenstein - subgroups'.

2. Select the dataset used.

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3. Select the aggregating procedure

4. Select the appropriate columns of your dataset

5. Select how additional columns should be resumed

Results of the aggregating procedure

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1. Description of the section.

Load the two datasets you want to compare. If your datasets contain many rows and many columns, the ouput may takes a few minutes to appear.
If the delay is too long, you can speed up the process by restricting the comparison to some columns.

Dataset 1.

Dataset 2.

Dataset 1.

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Dataset 2.

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Results of the comparison.

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